App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems

TL;DR

This paper proposes a new app store architecture, APP STORE 2.0, that leverages crowdsourced data to provide actionable feedback, aiming to enhance user experience and app quality in competitive mobile ecosystems.

Contribution

It introduces a blueprint for an advanced app store that utilizes crowdsourced information to generate actionable insights for app improvement.

Findings

Blueprint architecture for APP STORE 2.0

Types of actionable feedback from crowdsourced data

Potential improvements in app quality and user experience

Abstract

Given the increasing competition in mobile app ecosystems, improving the experience of users has become a major goal for app vendors. This article introduces a visionary app store, called APP STORE 2.0, which exploits crowdsourced information about apps, devices and users to increase the overall quality of the delivered mobile apps. We sketch a blueprint architecture of the envisioned app stores and discuss the different kinds of actionable feedbacks that app stores can generate using crowdsourced information.